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All Journal Jurnal Elektronika dan Telekomunikasi Buletin Ilmiah Sarjana Teknik Elektro Journal of Mechatronic and Electrical Engineering
Muhammad Nasar
Universitas Muhammadiyah Malang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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A SIMPLE REAL-TIME ENERGY ANALYTICS MODEL FOR SMART BUILDING USING OPEN IOT PLATFORMS Nasar, Muhammad; Setyawan, Novendra; Faruq, Amrul; Sulistiyowati, Indah
Jurnal Elektronika dan Telekomunikasi Vol 19, No 2 (2019)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v19.83-90

Abstract

Monitoring energy in buildings can ease us to have a better understanding of electricity consumption patterns to support efficiency and avoid potential damages. However, indoor installations are mostly unmonitored because their panel meters are usually difficult to access. Yet, indoor maintenance tends to be more difficult since the cables are inside the wall, ceiling, or concrete. Internet of Things and big data analytics can be used to track electricity usage either in residential, commercial, or industrial buildings. This paper presents how a simple real-time energy data analytics was built at a low cost and high accuracy to inspect energy fluctuations, anomaly, and its significant pattern. We proposed 3 layers of architecture namely acquisition, transportation, and application management. An electronic module named PZEM004T was used to sense voltage, current, and other electrical parameters. Through a microcontroller ESP8266, the data was processed and sent it to an application layer via an existing wireless network. The actual and historical data of electricity were visualized on high-resolution graphs. The experiment was conducted at our office building. The experimental results showed that data of electrical energy usage can be captured close to realtime and power anomaly and pattern can be figured. Performance and functionality testing showed acceptable use of this system with more than 99% accuracy. This system is intended to empower building managers in evaluating the electrical network balance as well as anticipating damage due to overload, overvoltage, and voltage drop. If this model is widely implemented it will produce big data that is useful for advanced analysis.
A Simple Real-Time Energy Analytics Model for Smart Building Using Open IoT Platforms Muhammad Nasar; Novendra Setyawan; Amrul Faruq; Indah Sulistiyowati
Jurnal Elektronika dan Telekomunikasi Vol 19, No 2 (2019)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v19.83-90

Abstract

Monitoring energy in buildings can ease us to have a better understanding of electricity consumption patterns to support efficiency and avoid potential damages. However, indoor installations are mostly unmonitored because their panel meters are usually difficult to access. Yet, indoor maintenance tends to be more difficult since the cables are inside the wall, ceiling, or concrete. Internet of Things and big data analytics can be used to track electricity usage either in residential, commercial, or industrial buildings. This paper presents how a simple real-time energy data analytics was built at a low cost and high accuracy to inspect energy fluctuations, anomaly, and its significant pattern. We proposed 3 layers of architecture namely acquisition, transportation, and application management. An electronic module named PZEM004T was used to sense voltage, current, and other electrical parameters. Through a microcontroller ESP8266, the data was processed and sent it to an application layer via an existing wireless network. The actual and historical data of electricity were visualized on high-resolution graphs. The experiment was conducted at our office building. The experimental results showed that data of electrical energy usage can be captured close to realtime and power anomaly and pattern can be figured. Performance and functionality testing showed acceptable use of this system with more than 99% accuracy. This system is intended to empower building managers in evaluating the electrical network balance as well as anticipating damage due to overload, overvoltage, and voltage drop. If this model is widely implemented it will produce big data that is useful for advanced analysis.
Perancangan Sistem Pengendalian Drone Autonomous Quadcopter Dengan Smartphone Berbasis Android Muhammad Adi Saputra; Nur Alif Mardiyah; Muhammad Nasar
Journal of Mechatronic and Electrical Engineering Vol. 1 No. 1 (2021): April
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

An Unmanned Aerial Vehicle (UAV) is an unmanned aircraft that can fly autonomously. Autonomous system in a drone quadcopter can minimize user control. An autonomous mode enables the drone to operate automatically based on the previously created setting, although the remote is off. One type of UAV that is still developed is the drone. This research used a drone quadcopter type with 4 propellers synchronized with a configured frame in (X) shape. The previous drone research used google maps and flew autonomously according to the waypoint directed by an android controller application, next, the drone flight command was manual by using a putty application on a laptop. Since, the previous research should be improved, therefore, in this research, the drone used android-based control complete with a tracking feature. Because, android enables the use of computer basic code that can be distributed in open source wit an application tha supports flight controllers along with a tracking application that was a self-designed application using Internet of Things communication (IoT). IoT used in this research is an internet network that can connect electronics and virtual objects around, such as users and types of UAV like a drone. The purpose of maing the drone in this research was to ease tha user in operating and monitoring.
Overload Monitoring and Warning System for 3-Phase Electric Motorcycle based on IoT Adhimanata, Yogi; Sulistiyowati, Indah; Wisaksono, Arief; Ayuni, Shazana Dhiya; Nasar, Muhammad
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 1 (2025): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i1.12262

Abstract

This research aims to develop and test a Telegram-based monitoring and overload warning system for three-phase motors, utilizing the PZEM-004T sensor and ESP8266 WiFi microcontroller, which is able to measure electrical parameters such as current, voltage, and power in real-time. The method used is a quantitative approach with an experimental method, where this system provides automatic notifications via the Telegram application in the event of an overload with a current limit of 20A, and is able to automatically cut off electricity to prevent more serious damage. Given the risk of overload that can cause production damage and costly downtime to the industry, the results show the effectiveness of the system in recording data and detecting overload conditions, although there are power measurement discrepancies that indicate the need for further calibration. Recommendations from this research include developments to improve measurement accuracy, standardization of procedures, and integration with relevant industry standards, as well as additional trials with different load variations to validate the system's performance in various scenarios.
Co-Authors Adhimanata, Yogi Amrul Faruq Amrul Faruq Arief Wisaksono Dwi Nur Fajar Indah Sulistiyowati Muhammad Adi Saputra Novendra Setyawan Nur Alif Mardiyah Shazana Dhiya Ayuni Zulfatman Zulfatman